Explore Music Data to Enhance Customer Satisfaction
Keywords:
Data Analysis, Spotify API, Customer SatisfactionAbstract
Restaurant-like service areas have been adapting different technologies to enhance customer satisfaction for many years. In this LBR, we share our research idea about how to integrate music data and its analysis for this purpose. In the first part, we propose a voting system to carry your favorite song to the top of the list to be played next in your place. In the second part, we propose a recommendation system to find a place that suits your music requirements in your close proximity. Our preliminary survey results for the first part and the data analysis results for the second part shows that our approach has a promising potential for customer satisfaction.Downloads
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e-Review of Tourism Research (eRTR) is an international electronic bulletin for tourism research (ISSN:1941-5842). It comprises current tourism research articles, commentaries and reviews by industry professionals. The materials are provided for the personal noncommercial use of registered users of the eRTR, free to individuals and institutions. Copies of articles may be distributed for research or educational purpose, free of charge and without permission. However, commercial use of the eRTR or the articles contained herein is expressly prohibited without the written consent of the publisher.
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